Anthropic’s prompt suggestions are simple, but you can’t give an LLM an open-ended question like that and expect the results you want! You, the user, are likely subconsciously picky, and there are always functional requirements that the agent won’t magically apply because it cannot read minds and behaves as a literal genie. My approach to prompting is to write the potentially-very-large individual prompt in its own Markdown file (which can be tracked in git), then tag the agent with that prompt and tell it to implement that Markdown file. Once the work is completed and manually reviewed, I manually commit the work to git, with the message referencing the specific prompt file so I have good internal tracking.
并且在全屏防窥模式打开之后，由于关闭了 50% 的屏幕像素，S26 Ultra 的亮度和显示精细度也会有所衰减，虽然有 2K 分辨率打底，关闭一半像素之后的效果也和 S25 Ultra 贴个很烂的防窥膜差不多了。
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第三节 侵犯人身权利、财产权利的行为和处罚
這些大量的通信，有助於理解為何美國前總統與愛潑斯坦的關係如此緊密，以及克林頓與愛潑斯坦陣營如何努力維繫這個連結。沒有任何證據顯示班德有不當行為。